where \(n_{i}^{*}\)  is the total number of times item \(i\)  is interacted with and \(\gamma \)  is a parameter that affects the propensity distributions over items with different observed popularity.
blackThe power-law parameter \(\gamma \)  affects the propensity distributions over items and depends on the examined dataset.
blackFollowing previous research [1]}, 
we estimate the \(\gamma \)  parameter blackusing maximum likelihood for each dataset.
